Okta Implementation at GumGum
DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING : PART 2 - RNN
DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING : PART 1 – WORD EMBEDDINGS

Deep Learning is a buzz word that gets thrown around a lot these days. It’s thought of the “next big thing” which has already started turning many heads and convinced many who initially thought of it as a bubble.

Detection is one of many classic computer vision problems that has significantly improved with the adoption of convolutional neural networks (CNNs).  When CNNs rose to popularity for image classification, many relied on crude and expensive preprocessing routines for generating region-proposals.

This is a first post in the series of three posts on GumSmash, an In-House event driven auto-remediation engine based on Ansible, that we developed at GumGum.

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